CryptoNote is the technology that allows the creation of completely anonymous egalitarian cryptocurrencies. A number of our community members have been focused on research and development for more than a decade. We aim to promote the derived principles to influence the contemporary economic paradigm.
The current power distribution on our planet is the legacy of the world where the economy is controlled by the few. The status quo was shaped throughout centuries, making human beings engage in rat races, detrimental rivalry, and bloodshed. In spite of humanity’s hope to overcome local crises through education and internationalization, we still fail to have full control over our lives.
However, state-of-the-art advancements in technology, mathematics, and cryptography may become the key to subvert this paradigm. The advent of cryptocurrencies is the first sign that the new world is coming. It is marked with a hope that the economy will interlace with the technology, that communities will set new transparent principles, and impartial cryptographic algorithms will control its implementation.
It is in our philosophy to encourage enlightenment through breakthrough innovations. Emancipation begins with laymen getting access to financial resources that will give the oppressed the hope for quality education, drinking water, and a better life. CryptoNote is not about creating yet another digital currency. It is the mindset and concepts that represent the first small step to regain the power over ourselves in order to live peacefully and prosper.
Ring signatures: Untraceable payments
The ordinary digital signature (e.g. (EC)DSA, Schnorr, etc…) verification process involves the public key of the signer. It is a necessary
Ring signature  is a more sophisticated scheme, which in fact may demand several different public keys for verification. In the case of ring signature, we have a group of individuals, each with their own secret and public key. The statement proved by ring signatures is that the signer of a given message is a member of the group. The main distinction with the ordinary digital signature schemes is that the signer needs a single secret key, but a verifier cannot establish the exact identity of the signer. Therefore, if you encounter a ring signature with the public keys of Alice, Bob
This concept can be used to make digital transactions sent to the network untraceable by using the public keys of other members in the ring signature one will apply to the transaction. This approach proves that the creator of the transaction is eligible to spend the amount specified in the transaction but his identity will be indistinguishable from the users whose public keys he used in his ring signatures.
It should be noted that foreign transactions do not restrict you from spending your own money. Your public key may appear in dozens of others’ ring signatures but only as a muddling factor (even if you already used the corresponding secret key for signing your own transaction). Moreover, if two users create ring signatures with the same set of public keys, the signatures will be different (unless they use the same private key).
 Ronald L. Rivest, Adi Shamir, and Yael Tauman. How to leak a secret. In ASIACRYPT, pages 552–565, 2001
One-time keys: Unlinkable transactions
Normally, when you post your public address, anyone can check all your incoming transactions even if they are hidden behind a ring signature. To avoid linking you can create hundreds of keys and send them to your payers privately, but that deprives you of the convenience of having a single public address.
CryptoNote solves this dilemma by an automatic creation of multiple unique one-time keys, derived from the single public key, for each p2p payment. The solution lies in a clever modification of the Diffie-Hellman exchange protocol. Originally it allows two parties to produce a common secret key derived from their public keys. In our
The sender can produce only the public part of the key, whereas only the receiver can compute the private part; hence the receiver is the only one who can release the funds after the transaction is committed. He only needs to perform a single-formula check on each
An important part of our protocol is
 Whitfield Diffie and Martin Hellman. New directions in cryptography. IEEE Transactions on Information Theory 22 (6): 644–654, 1976.
Fully anonymous signatures would allow spending the same funds many times which, of course, is incompatible with any payment system’s principles. The problem can be fixed as follows.
A ring signature is actually a class of crypto-algorithms with different features. The one CryptoNote uses is the modified version of the “Traceable ring signature” . In
To support linkability CryptoNote introduced a special marker being created by a user while signing, which we called a key image. It is the value of a cryptographic one-way function of the secret key, so in math
Key image via
All users keep the list of the used key images (compared with the history of all valid transactions it requires an insignificant amount of storage) and immediately reject any new ring signature with a duplicate key image. It will not identify the misbehaving user, but it does prevent any double-spending attempts, caused by malicious intentions or software errors.
 Eiichiro Fujisaki and Koutarou Suzuki. Traceable ring signature. In Public Key Cryptography, pages 181–200, 2007.
CryptoNote blockchain analysis resistance
There are many academic papers dedicated to the analysis of the Bitcoin’s blockchain. Their authors trace the money flow, identify the owners of coins, determine wallet balances and so on. The ability to make such analysis is due to the fact that all the transfers between addresses are transparent: every input in a transaction refers to a unique output. Moreover, users often re-use their old addresses, receiving and sending coins from them many times, which simplifies the analyst’s work. It happens unintentionally: if you have a public address (for example, for donations), you are sure to use this address in many inputs and transactions.
CryptoNote is designed to mitigate the risks associated with key re-usage and one-input-to-one-output tracing. Every address for a payment is a unique one-time key, derived from both the sender’s and the recipient’s data. It can appear twice with a probability of a 256-bit hash collision. As soon as you use a ring signature in your input, it entails the uncertainty: which output has just been spent?
Trying to draw a graph with addresses in the vertices and transactions on the edges, one will get a tree: a graph without any cycles (because no key/address was used twice). Moreover, there are billions of possible graphs, since every ring signature produces ambiguity. Thus, you can’t be certain from which possible sender the transaction-edge comes to the address-vertice. Depending on the size of the ring you will guess from “one out of two” to “one out of a thousand”. Every next transaction increases the entropy and creates additional obstacles for an analyst.
Blockchain analysis ambiguity
Standard CryptoNote transaction
A standard CryptoNote transaction is generated by the following sequence covered in the white paper.
Bob decides to spend an output, which was sent to the one-time public key. He needs Extra (1), TxOutNumber (2), and his Account private key (3) to recover his one-time private key (4).
When sending a transaction to Carol, Bob generates its Extra value by random (5). He uses Extra (6), TxOutNumber (7)and Carol’s Account public key (8) to get her Output public key (9).
Finally, Bob signs the transaction, using his One-time private key (12), all the public keys (13) and Key Image (14). He appends the resulting Ring Signature to the end of the transaction (15).
A standard CryptoNote transaction (click to enlarge)
A decentralized payment system must not depend on a single person’s decisions, even if this person is a core developer. Hard constants and magic numbers in the code deter the system’s evolution and therefore should be eliminated (or at least be cut down to the minimum). Every crucial limit (like max block size or min fee amount) should be re-calculated based on the system’s previous state. Therefore, it always changes adaptively and independently, allowing the network to develop on
CryptoNote has the following parameters which adjust automatically for each new block:
1) Difficulty. The general idea of our algorithm is to sum all the work that nodes have performed during the last 720 blocks and divide it by the time they have spent to accomplish it. The measure of the work is the corresponding difficulty value for each of the blocks. The time is calculated as follows: sort all the 720 timestamps and cut-off 20% of the outliers. The range of the rest 600 values is the time which was spent for 80% of the corresponding blocks.
2) Max block size. Let MN be the median value of the last N blocks sizes. Then the “hard-limit” for the size of accepting blocks is 2*MN. It averts blockchain bloating but still allows the limit to slowly grow with the time if necessary. Transaction size does not need to be limited explicitly. It is bounded by the size of the block.
The upper bound for the overall amount of all digital coins is also digital:
This is a natural restriction based only on the implementation limits, not on intuition like “N coins ought to be enough for everybody”. To make the emission process smoother CryptoNote uses the following formula for block rewards:
BaseReward = (MSupply − A) >> 18
where A is
Egalitarian proof of work
The proof of work mechanism is actually a voting system. Users vote for the right order of the transactions, for enabling new features in the protocol and for the honest money supply distribution. Therefore, it is important that during the voting process all participant have equal voting rights. CryptoNote brings the equality with an egalitarian proof-of-work pricing function, which is perfectly suitable for ordinary PCs. It utilizes built-in CPU instructions, which are very hard and too expensive to implement in special purpose devices or fast memory-on-chip devices with low latency.
We propose a new memory-bound algorithm for the proof-of-work pricing function. It relies on random access to a slow memory and emphasizes latency dependence. As opposed to
Our algorithm requires about 2 Mb per instance for the following reasons:
1. It fits in the L3 cache (per core) of modern processors, which should become mainstream in a few years;
2. A megabyte of internal memory is an almost unacceptable size for a modern ASIC pipeline;
3. GPUs may run hundreds of concurrent instances, but they are limited in other ways: GDDR5 memory is slower than the CPU L3 cache and remarkable for its bandwidth, not random access speed.
4. Significant expansion of the scratchpad would require an increase in iterations, which in turn implies an overall time increase. “Heavy” calls in a trust-less p2p network may lead to serious
One of the proof-of-work algorithms that